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Color MNIST
The Color MNIST dataset is used for visual concepts from the Color MNIST dataset of Seo et al. (2017). -
MNIST, SVHN, and CelebA
The MNIST, SVHN, and CelebA datasets are used for conditional density estimation tasks. -
MNIST and MIMIC-CXR-JPG datasets
The MNIST dataset is a large dataset of handwritten digits, and the MIMIC-CXR-JPG dataset is a large dataset of chest x-ray images. -
MNIST-Scale and FMNIST-Scale datasets
The MNIST-Scale and FMNIST-Scale datasets are used to evaluate the performance of the proposed scale-steerable CNN framework. -
MNIST-Superpixel dataset
The MNIST-Superpixel dataset is a collection of images with superpixels, where each superpixel is a region of similar color. -
MNIST data set
The MNIST data set is a dataset used for testing the performance of the DisDF. -
3s vs 7s MNIST problem
The 3s vs 7s MNIST problem is a classic dataset in machine learning. It consists of 28x28 grayscale images of handwritten digits, with 3s and 7s in the images. -
MNIST and ResNet50
The MNIST and ResNet50 datasets are used to test the onnx-mlir compiler. -
MNIST, FMNIST, and CIFAR10 datasets
The MNIST, FMNIST, and CIFAR10 datasets are used to evaluate the proposed methods of spiking-MaxPooling. -
MNIST-parity experiment
The MNIST-parity experiment uses the MNIST dataset to test the performance of a ReLU network and various linear models on the parity of a single MNIST image and the parity of... -
MNIST dataset for handwritten digits
The MNIST dataset is a collection of images of handwritten digits, with size n = 70,000 and D = 784. -
MNIST, CIFAR10, and CelebA datasets
The dataset used in the paper is a MNIST dataset, a CIFAR10 dataset, and a CelebA dataset. -
CIFAR-10, CIFAR-100, SVHN, MNIST, KMNIST, FashionMNIST
CIFAR-10, CIFAR-100, SVHN, MNIST, KMNIST, FashionMNIST -
Visual Domain Adaptation
The MNIST, MNIST-M, Street View House Numbers (SVHN), Synthetic Digits (SYN DIGITS), CIFAR-10 and STL-10 datasets are used for visual domain adaptation experiments. -
Colored MNIST dataset
The dataset used in the paper is a binary classification task in a 300-dimensional space. The procedure for generating the training dataset is as follows: Each label y ∈ {−1, 1}... -
MNIST and CIFAR-10
The MNIST dataset is a large dataset of handwritten digits, and the CIFAR-10 dataset is a dataset of images from 10 different classes. -
MNIST, CIFAR10, and UDIS-D datasets
The MNIST and CIFAR10 datasets are used for image classification, while the UDIS-D dataset is used for image reconstruction.
